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in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in programming (e.g
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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Institute faculty, in areas such as: * Machine Learning and Computer Vision * Natural Language Processing and Data Science * Biomedical Informatics and Computational Neuroscience * Mathematical/Theoretical
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experiments are appropriately conducted following the policies and procedures of Stony Brook University. The successful candidates will work on the parity- violating electron scattering (PVES ) program at
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to support research groups associated with Institute faculty, in areas such as: ● Machine Learning and Computer Vision ● Natural Language Processing and Data Science ● Biomedical Informatics and
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to support research groups associated with Institute faculty, in areas such as: ● Machine Learning and Computer Vision ● Natural Language Processing and Data Science ● Biomedical Informatics and
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(PVES ) program at Jefferson Laboratory (JLab ), and Simulation studies & R&D for the future Electron Ion Collider (EIC ). For more information, please visit the PI’s website or the group’s nuclear
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Neutrino Group research program. The group plays a leading role in the T2K and DUNE experiments. The selected candidate will be responsible for the following duties: ● Analyzing data for T2K experiment
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Neutrino Group research program. The group plays a leading role in the T2K and DUNE experiments. The selected candidate will be responsible for the following duties: ● Analyzing data for T2K experiment
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(PVES ) program at Jefferson Laboratory (JLab ), and Simulation studies & R&D for the future Electron Ion Collider (EIC ). For more information, please visit the PI’s website or the group’s nuclear